diff --git a/examples/models/llama3_2_vision/runner/exported.py b/examples/models/llama3_2_vision/runner/exported.py
new file mode 100644
index 00000000000..8a8bb140d12
--- /dev/null
+++ b/examples/models/llama3_2_vision/runner/exported.py
@@ -0,0 +1,94 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+import argparse
+import json
+from typing import Optional
+
+import torch
+
+from executorch.examples.models.llama.export_llama_lib import (
+    build_args_parser as _build_args_parser,
+)
+from executorch.examples.models.llama3_2_vision.runner.generation import (
+    TorchTuneLlamaRunner,
+)
+
+
+class ExportedLlamaRunner(TorchTuneLlamaRunner):
+    """
+    Runs a torch-exported .pt2 Llama.
+    """
+
+    def __init__(self, args):
+        with open(args.params, "r") as f:
+            params = json.loads(f.read())
+        super().__init__(
+            tokenizer_path=args.tokenizer_path,
+            max_seq_len=args.max_seq_length,
+            max_batch_size=1,
+            use_kv_cache=args.use_kv_cache,
+            vocab_size=params["vocab_size"],
+            device="cuda" if torch.cuda.is_available() else "cpu",
+        )
+        print(f"Loading model from {args.pt2}")
+        self.model = torch.export.load(args.pt2).module()
+        print("Model loaded")
+
+    def forward(
+        self,
+        tokens: Optional[torch.LongTensor] = None,
+        input_pos: Optional[torch.LongTensor] = None,
+        mask: Optional[torch.LongTensor] = None,
+    ) -> torch.Tensor:
+        if self.use_kv_cache:
+            return self.model(tokens, input_pos=input_pos, mask=mask)
+        else:
+            return self.model(tokens)
+
+
+def build_args_parser() -> argparse.ArgumentParser:
+    parser = _build_args_parser()
+
+    parser.add_argument(
+        "--prompt",
+        type=str,
+        default="Hello",
+    )
+
+    parser.add_argument(
+        "--pt2",
+        type=str,
+        required=True,
+    )
+
+    parser.add_argument(
+        "--temperature",
+        type=float,
+        default=0,
+    )
+
+    return parser
+
+
+def main() -> None:
+    parser = build_args_parser()
+    args = parser.parse_args()
+
+    runner = ExportedLlamaRunner(args)
+    result = runner.text_completion(
+        prompt=args.prompt,
+        temperature=args.temperature,
+    )
+    print(
+        "Response: \n{response}\n Tokens:\n {tokens}".format(
+            response=result["generation"], tokens=result["tokens"]
+        )
+    )
+
+
+if __name__ == "__main__":
+    main()  # pragma: no cover